NitroNet: a deep-learning NO2 profile retrieval for the TROPOMI satellite instrument
Gespeichert in:
| 1. Verfasser: | |
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| Dokumenttyp: | Buch/Monographie Hochschulschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
28 Januar 2025
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| DOI: | 10.11588/heidok.00036022 |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, kostenfrei: https://nbn-resolving.de/urn:nbn:de:bsz:16-heidok-360223 Resolving-System, kostenfrei: https://doi.org/10.11588/heidok.00036022 Verlag, kostenfrei, Volltext: http://www.ub.uni-heidelberg.de/archiv/36022 Resolving-System, kostenfrei: https://nbn-resolving.org/urn:nbn:de:bsz:16-heidok-360223 Langzeitarchivierung Nationalbibliothek, kostenfrei: https://d-nb.info/135546529X/34 
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| Verfasserangaben: | put forward by Leon Kuhn ; referees: Prof. Dr. Thomas Wagner [und ein weiterer Gutachter] |
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